Evidence map›Paper›PMID 42027953›Full record

ReviewAsian journal of pharmaceutical sciences2026

Molecular origin, discovery, validation and application of neoantigens.

Qian Lyu, Shen Hu

Abstract readReview
In one paragraph

Review in Asian journal of pharmaceutical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Qian LyuDivision of Oral and Systemic Health Sciences, School of Dentistry, University of California, Los Angeles, CA 90095, United States of America.
Shen HuDivision of Oral and Systemic Health Sciences, School of Dentistry, University of California, Los Angeles, CA 90095, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoantigens, tumor-specific peptides originating from somatic mutations, are pivotal targets for personalized cancer immunotherapy. This review synthesizes current neoantigen research, encompassing its molecular origins, discovery methodologies, validation strategies and translational applications. We emphasize integrated genomics, mass spectrometry-based immunopeptidomics and machine learning-enhanced bioinformatics pipelines that are concurrently used to predict neoantigen processing, major histocompatibility complex (MHC)-binding affinity, and immunogenicity. Neoantigen-targeted vaccines demonstrate promising efficacy in solid tumors while combinatorial approaches integrating neoantigen-directed therapies with other immunotherapeutics show significant potential to overcome tumor immune evasion mechanisms and improve treatment outcomes. These new progresses underscore the critical role of neoantigens in advancing precision cancer immunotherapy.

Indexed as

Cancer immunotherapyImmunopeptidomicsMachine learning-enhanced bioinformaticsmRNA vaccineNeoantigenNeoantigen prediction and validation

Identifiers

PMID42027953
PMCPMC13099354

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.